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Medical Image Analysis Software Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032

Publisher Global Market Insights
Published Dec 09, 2024
Length 148 Pages
SKU # GMI19463490

Description

Medical Image Analysis Software Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032


Medical Image Analysis Software Market was valued at USD 3.5 billion in 2023 and is poised to grow at 7% CAGR between 2024 and 2032, attributed to the growing adoption of AI worldwide. AI algorithms in image analysis software help enhance diagnostic accuracy, automate image interpretation, and enable efficient data analysis. For instance, in December 2023, GE HealthCare launched a new AI-enabled MRI system to enable high performance to bore the benchmark for patient comfort and highlight current AI and deep learning-driven technologies to assist quicker and more precise scans. Healthcare providers are leveraging such AI-powered software for advanced imaging modalities like MRI, CT, and ultrasound to improve disease detection and treatment planning. The ability of AI to detect subtle abnormalities, predict disease progression, and assist in personalized medicine is driving the market growth.

The medical image analysis software industry is segmented into software type, modality, imaging type, application, end-user, and region.

Based on software type, the market size from the standalone segment is anticipated to attain 7.3% CAGR from 2024-2032 owing to its flexibility and ease of use, allowing healthcare professionals to analyze medical images without relying on additional platforms or systems. Healthcare facilities are increasingly adopting standalone image analysis software for its versatility in various imaging modalities, such as MRI, CT, and X-ray. Additionally, advancements in software capabilities, such as AI-based image interpretation and 3D visualization will propel the segment growth.

In terms of application, the medical image analysis software market from the neurology segment is projected to witness 7.5% growth rate between 2024 and 2032. Advanced image analysis software plays a crucial role in the diagnosis and treatment planning of neurological disorders, such as brain tumors, Alzheimer’s disease, and stroke. Neurology-focused software offers specialized tools for accurate brain mapping, lesion detection, and quantitative analysis of brain structures. The rising prevalence of neurological conditions and the increasing demand for precise diagnostic tools will also fuel the segment expansion.

Regionally, the Asia Pacific medical image analysis software market is set to exhibit 7.2% CAGR between 2024 and 2032 driven by the increasing healthcare infrastructure development and the rising demand for advanced medical imaging technologies across the region. Major countries like China, Japan, and India are investing heavily in healthcare IT solutions, driving the adoption of image analysis software. The growing prevalence of chronic diseases and the aging population are further boosting the demand for accurate diagnostic tools. Additionally, several companies and governments are taking initiatives to promote digitization in healthcare and drive the adoption of AI-based solutions in the region.

Table of Contents

148 Pages
Chapter 1 Methodology
1.1 Market segmentation
1.2 Market definitions
1.3 Research design
1.4 Market size estimates and calculations
1.4.1 Approach 1: Company share analysis
1.4.2 Approach 2: Bottom-up approach
1.5 Key trends for market estimates
1.6 Forecast model
1.7 Primary research & validation
1.7.1 Primary sources
1.7.2 Data mining sources
1.7.2.1 Paid sources
1.7.2.2 Public sources
Chapter 2 Executive Summary
2.1 Industry 360° synopsis, 2018 - 2032
2.2 Software type trends
2.3 Modality trends
2.4 Imaging type trends
2.5 Application trends
2.6 End user trends
2.7 Regional trends
Chapter 3 Medical Image Analysis Software Industry Insights
3.1 Industry ecosystem analysis
3.2 Industry impact forces
3.2.1 Growth drivers
3.2.1.1 Increasing incidence of chronic diseases
3.2.1.2 Increasing global geriatric population
3.2.1.3 Growing need for faster validation of results and better diagnostic capabilities
3.2.1.4 Expanding demand for non-invasive diagnostic tools
3.2.1.5 Growing demand for telemedicine and remote healthcare services
3.2.2 Industry pitfalls & challenges
3.2.2.1 Integration complexity
3.2.2.2 Data security and privacy concerns
3.3 Growth potential analysis
3.3.1 By software type
3.3.2 By modality
3.3.3 By imaging type
3.3.4 By application
3.3.5 By end user
3.4 Regulatory landscape
3.4.1 U.S.
3.4.2 Europe
3.5 Porter's analysis
3.6 PESTEL analysis
Chapter 4 Competitive Landscape, 2023
4.1 Introduction
4.2 Company matrix analysis
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategy dashboard
Chapter 5 Medical Image Analysis Software Market, By Software Type
5.1 Integrated
5.2 Standalone
Chapter 6 Medical Image Analysis Software Market, By Modality
6.1 Tomography
6.1.1 Computed tomography
6.1.1.1 High-slice
6.1.1.2 Mid-slice
6.1.1.3 Low-slice
6.1.1.4 Cone beam
6.1.2 Magnetic resonance imaging
6.1.2.1 Open system
6.1.2.2 Closed system
6.1.3 Positron emission tomography
6.1.4 Single-photon emission tomography
6.2 Ultrasound imaging
6.2.1 2D
6.2.2 3D&4D
6.2.3 Doppler
6.3 Radiographic imaging
6.4 Combined modalities
6.4.1 PET/MR
6.4.2 SPECT/CT
6.4.3 PET/CT
Chapter 7 Medical Image Analysis Software Market, By Imaging Type
7.1 2D
7.2 3D
7.3 4D
Chapter 8 Medical Image Analysis Software Market, By Application
8.1 Orthopedic
8.2 Dental
8.3 Neurology
8.4 Cardiology
8.5 Oncology
8.6 Obstetrics and gynecology
8.7 Mammography
8.8 Respiratory
8.9 Other applications
Chapter 9 Medical Image Analysis Software Market, By End User
9.1 Hospitals
9.2 Diagnostic centers
9.3 Ambulatory surgical centers
9.4 Other end users
Chapter 10 Medical Image Analysis Software Market, By Region
10.1 North America
10.2 Europe
10.3 Asia Pacific
10.4 Latin America
10.5 Middle East and Africa
Chapter 11 Company Profiles
11.1 Aidoc
11.1.1 Global overview
11.1.2 Business overview
11.1.3 Financial data
11.1.4 Product landscape
11.1.5 Strategic outlook
11.1.6 SWOT analysis
11.2 Canon Inc.
11.2.1 Global overview
11.2.2 Business overview
11.2.3 Financial data
11.2.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.2.4 Product landscape
11.2.5 Strategic outlook
11.2.6 SWOT analysis
11.3 Viz.ai
11.3.1 Global overview
11.3.2 Business overview
11.3.3 Financial data
11.3.4 Product landscape
11.3.5 SWOT analysis
11.4 Clario
11.4.1 Global overview
11.4.2 Business overview
11.4.3 Financial data
11.4.4 Product landscape
11.4.5 Strategic outlook
11.4.6 SWOT analysis
11.5 Danaher Corporation
11.5.1 Global overview
11.5.2 Business overview
11.5.3 Financial data
11.5.3.1 Annual sales revenue, 2020 - 2023 (USD Million)
11.5.4 Product landscape
11.5.5 Strategic outlook
11.5.6 SWOT analysis
11.6 EMEDICA
11.6.1 Global overview
11.6.2 Business overview
11.6.3 Financial data
11.6.4 Product landscape
11.6.5 SWOT analysis
11.7 Esaote SPA
11.7.1 Global overview
11.7.2 Business overview
11.7.3 Financial data
11.7.4 Product landscape
11.7.5 SWOT analysis
11.8 Evident Corporation
11.8.1 Global overview
11.8.2 Business overview
11.8.1 Financial data
11.8.2 Product landscape
11.8.3 Strategic outlook
11.8.4 SWOT analysis
11.9 GE HealthCare
11.9.1 Global overview
11.9.2 Business overview
11.9.3 Financial data
11.9.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.9.4 Product landscape
11.9.5 Strategic outlook
11.9.6 SWOT analysis
11.10 HeartFlow, Inc.
11.10.1 Global overview
11.10.2 Business overview
11.10.3 Financial data
11.10.4 Product landscape
11.10.5 Strategic outlook
11.10.6 SWOT analysis
11.11 Koninklijke Philips N.V.
11.11.1 Global overview
11.11.2 Business overview
11.11.3 Financial data
11.11.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.11.4 Product landscape
11.11.5 Strategic outlook
11.11.6 SWOT analysis
11.12 Medis Medical Imaging Systems
11.12.1 Global overview
11.12.2 Business overview
11.12.3 Financial data
11.12.4 Product landscape
11.12.5 Strategic outlook
11.12.6 SWOT analysis
11.13 Siemens Healthineers AG
11.13.1 Global overview
11.13.2 Business overview
11.13.3 Financial data
11.13.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.13.4 Product landscape
11.13.5 Strategic outlook
11.13.6 SWOT analysis
11.14 TeraRecon
11.14.1 Global overview
11.14.2 Business overview
11.14.3 Financial data
11.14.4 Product landscape
11.14.5 Strategic outlook
11.14.1 SWOT analysis
11.15 Thermo Fisher Scientific Inc.
11.15.1 Global overview
11.15.2 Business overview
11.15.3 Financial data
11.15.3.1 Annual sales revenue, 2020-2023 (USD Million)
11.15.4 Product landscape
11.15.5 SWOT analysis

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